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Advances in Data Mining: Applications and Theoretical Aspects : 15th Industrial Conference, ICDM 2015, Hamburg, Germany, July 11-24, 2015, Proceedings / edited by Petra Perner.

Contributor(s): Material type: TextTextLanguage: İngilizce Series: Lecture Notes in Artificial Intelligence ; 9165Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319209104
Subject(s): LOC classification:
  • Q334-342
Online resources:
Contents:
Business intelligence and customer relationship management -- Data mining in medicine and system biology -- Aspects of data mining -- Data mining in finance -- Text and document mining -- Data mining in environment.
Summary: This book constitutes the refereed proceedings of the 15th Industrial Conference on Advances in Data Mining, ICDM 2015, held in Hamburg, Germany, in July 2015. The 16 revised full papers presented were carefully reviewed and selected from numerous submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture, and in process control, industry and society.
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Holdings
Item type Current library Home library Collection Call number Status Notes Date due Barcode
E-Book E-Book Merkez Kütüphane Merkez Kütüphane E-Kitap Koleksiyonu Q334-342EBK (Browse shelf(Opens below)) Geçerli değil-e-Kitap / Not applicable-e-Book BİL EBK00040

Business intelligence and customer relationship management -- Data mining in medicine and system biology -- Aspects of data mining -- Data mining in finance -- Text and document mining -- Data mining in environment.

This book constitutes the refereed proceedings of the 15th Industrial Conference on Advances in Data Mining, ICDM 2015, held in Hamburg, Germany, in July 2015. The 16 revised full papers presented were carefully reviewed and selected from numerous submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture, and in process control, industry and society.

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